Results 21 to 30 of about 18,331 (226)

Numerical investigation of unconditionally stable spline function for three-dimensional time-fractional telegraph equations

Results in Control and Optimization, 2022
Telegraph equations are hyperbolic partial differential equations that may be used to represent reaction–diffusion processes in a variety of engineering and biological disciplines.
Uday Singh
doaj   +1 more source

Disguised and new quasi-Newton methods for nonlinear eigenvalue problems [PDF]

, 2017
In this paper, we take a quasi-Newton approach to nonlinear eigenvalue problems (NEPs) of the type M(λ)v = 0, where (Formula presented.) is a holomorphic function.
A. Koskela, E. Jarlebring, Koskela, Antti, G. Mele, Mele, Giampaolo, Mele, Giampaolo,, Jarlebring, Elias, Jarlebring, Elias,, Koskela, Antti,   +8 more
core   +1 more source

Convergence of quasi-Newton methods for solving constrained generalized equations

, 2022
In this paper, we focus on quasi-Newton methods to solve constrained generalized equations. As is well-known, this problem was firstly studied by Robinson and Josephy in the 70’s.
Rui M. Carvalho, Gilson N. Silva, Roberto Andreani, Leonardo D. Secchin   +3 more
core   +1 more source

Employing a Monte Carlo algorithm in Newton-type methods for restricted maximum likelihood estimation of genetic parameters.

PLoS ONE, 2013
Estimation of variance components by Monte Carlo (MC) expectation maximization (EM) restricted maximum likelihood (REML) is computationally efficient for large data sets and complex linear mixed effects models.
Kaarina Matilainen, Esa A Mäntysaari, Martin H Lidauer, Ismo Strandén, Robin Thompson   +4 more
doaj   +1 more source

Reducing Chaos and Bifurcations in Newton-Type Methods [PDF]

, 2013
We study the dynamics of some Newton-type iterative methods when they are applied of polynomials degrees two and three. The methods are free of high-order derivatives which are the main limitation of the classical high-order iterative schemes.
Á. A. Magreñán, S. Amat, Amat, S. [0000-0002-9954-5240], Magreñán, ÁA. [0000-0002-6991-5706], S. Busquier, Busquier, S. [0000-0003-0910-2030]   +5 more
core   +1 more source

Determining optimal policies for sugarcane harvesting in Thailand using bi-objective and quasi-Newton optimization methods

Advances in Difference Equations, 2019
In Thailand, the harvesting season for sugarcane usually begins in November and ends the following May. At the beginning of each harvesting season, the Royal Thai government sets the price of two types of sugarcane, namely fresh and fired, based on ...
Wisanlaya Pornprakun, Surattana Sungnul, Chanakarn Kiataramkul, Elvin J. Moore   +3 more
doaj   +1 more source

Speeding-up the Fitting of the Model Defining the Ribs-bounded Contour

Applied Computer Systems, 2017
The method for analysing transversal plane images from computer tomography scans is considered in the paper. This method allows not only approximating ribs-bounded contour but also evaluating patient rotation around the vertical axis during a scan.
Bilinskas Mykolas J., Dzemyda Gintautas, Sabaliauskas Martynas   +2 more
doaj   +1 more source

Learning regularized Gauss-Newton methods

, 2022
We consider variational networks for a class of nonlinear-ill-posed least squares inverse problems. These problems are addressed by regularized Gauss-Newton type optimization algorithms where the regularization is learned by a neural network.
Francesco Colibazzi, Andrea Samorè, Damiana Lazzaro, Serena Morigi   +3 more
core  

Mathematical Programming Method Based on Chaos Anti-Control for the Solution of Forward Displacement of Parallel Robot Mechanisms

International Journal of Advanced Robotic Systems, 2013
The pose of the moving platform in parallel robots is possible thanks to the strong coupling, but it consequently is very difficult to obtain its forward displacement.
Youxin Luo, Qiyuan Liu, Xiaoyi Che
doaj   +1 more source

ROBUST QUASI-NEWTON EQUATIONS IN QUASI-NEWTON METHOD FOR SOLVING UNCONSTRAINED OPTIMIZATION PROBLEMS

Barekeng
Quasi-Newton methods are among the most widely used and effective general-purpose algorithms for unconstrained optimization. These methods traditionally rely on the quasi-Newton equation, which serves as the foundation for updating approximations of the
Basim A. Hassan, Manal I. Mohammed
doaj   +1 more source